A significant area of natural language processing that deals with locating and categorizing feelings, attitudes, or views within a text sample is sentiment analysis and emotion identification. The ideas of emotion detection and sentiment analysis are examined, along with their uses and difficulties. We have covered a variety of sentiment analysis techniques in this study, Read More …
A fundamental tool for simulating the strategic interactions between logical agents in intricate, decentralized systems is game theory. This survey offers a thorough analysis of the various applications of game theory, mainly cooperative and non-cooperative frameworks, in practical technical fields such edge computing, energy systems, wireless communication, and Internet of Things environments. For Whole Article Read More …
Software development is quickly gathering momentum; with each passing day, the apps and systems are growing more complex. Bug-free and reliable—without those two qualities, these could spell disaster—has always been a mountain for testing to climb. And traditional testing has been stiff competition. Acting like a superhero, AI has now changed the very face of Read More …
Email forensic software plays a crucial role in investigating cybercrimes, data breaches, and internal security incidents. As email remains one of the most common vectors for communication and exploitation in both corporate and criminal contexts, it is often a primary source of digital evidence. Email forensic tools are designed to extract, analyze, and preserve email Read More …
In light of the escalating market fluctuations and intricate investor inclinations, the identification of optimal equities necessitates analytical paradigms that integrate diverse decision-making criteria. This research employs multicriteria decision-making frameworks to assess and rank six publicly listed corporations according to six principal investment parameters: expected return, risk profile, liquidity, volatility, and alignment with market trends Read More …
Deep learning has enhanced neuroimaging by enabling accurate and automated analysis of complex brain data. This review highlights key DL methods applied to brain tumor detection and fMRI analysis. It covers popular models, datasets, evaluation metrics, and major challenges, while also outlining future directions like explainable AI and multimodal integration for clinical use. For Whole Read More …